Faculty

Institution

Unit

Venue

Dimitris Politis

Professor

University of California, San Diego

Affiliations

Physical Sciences

Computational Science, Mathematics and Engineering

Mathematics

Halicioglu Data Science Institute

Dimitris Politis is currently serving as a Computational Science, Mathematics And Engineering Professor at University of California, San Diego.

Honors

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Experiences

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Education

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Dimitris Politis

University of California, San Diego

Professor

You can click a keyword to filter the displayed items

statistics time series data science applied mathematics applied statistics econometrics statistical methodology estimation theory machine learning statistical inference biostatistics bootstrap resampling sampling forecasting bibliometrics statistical theory empirical finance financial econometrics mathematical optimization machine learning research social science research spectral theory information theory predictive modeling nonparametric regression computational statistics scientific computing multivariate analysis statistical science spectrum estimation statistical analysis time series analysis point processes bootstrap confidence intervals financial time series markov processes economic analysis economic research entropy kernel methods estimation statistic statistical signal processing volatility modeling prediction modelling parameter estimation deconvolution bootstrap methods linear process bootstrap bootstrap prediction intervals tapered block bootstrap nonparametric statistics trend prediction financial time series analysis sampling theory econometric models econometric methods data aggregation stationary bootstrap automatic block-length selection dependent bootstrap autoregressive sieve bootstrap local bootstrap nonlinear analysis bayesian analysis quantitative science studies econodynamics matrix analysis probabilistic analysis computability theory data normalization network theory statistical foundation applied algebra

Notable Scholarly Works

Notable Federal Grants

Collaborators

Scalable Subsampling Inference for Deep Neural Networks. Deleted Journal (2025)

Kejin WuDimitris N. Politis

scalabilitydeep learningdeep neural networksinferencedata sciencemachine learning

Bootstrap Prediction Inference of Nonlinear Autoregressive Models. Journal of Time Series Analysis (2024)

Kejin WuDimitris N. Politis

time seriesbootstrap prediction inferencenonlinear autoregressive modelsdata sciencemachine learning

Local Quadratic Spectral and Covariance Matrix Estimation. Journal of Time Series Analysis (2024)

Tucker McElroyDimitris N. Politis

time seriesestimation theoryspectral theorycovariance matrix estimationapplied mathematics

Prepivoted Augmented Dickey-Fuller Test With Bootstrap-Assisted Lag Length Selection. Stats (2024)

Somak MaitraDimitris N. Politis

dickey-fuller testapplied statisticsstatistical theorystatistical analysisstatistical inferencestatisticsstatistical methodologystatistical hypothesis test

Simultaneous Statistical Inference for Second Order Parameters of Time Series Under Weak Conditions. The Annals of Statistics (2024)

Yunyi ZhangEfstathios PaparoditisDimitris N. Politis

time seriessimultaneous statistical inferencestatistical inferencesecond order parametersstatisticsweak conditions

Skip-Sampling: Subsampling in the Frequency Domain. Biometrika (2024)

Tucker McElroyDimitris N Politis

particle physicsfrequency domainapplied mathematics

Studentization Versus Variance Stabilization: A Simple Way out of an Old Dilemma. Statistical Science (2024)

Dimitris N. Politis

statistical sciencestatistics

Debiased and Thresholded Ridge Regression for Linear Models With Heteroskedastic and Correlated Errors. Journal of the Royal Statistical Society Series B (Statistical Methodology) (2023)

Yunyi ZhangDimitris N Politis

ridge regressionapplied statisticscorrelated errorsstatisticsstatistical methodologylinear models

Model-Based and Model-Free Point Prediction Algorithms for Locally Stationary Random Fields. Applied Sciences (2023)

Srinjoy DasYiwen ZhangDimitris N. Politis

applied probabilityapplied statisticsmodeling and simulationdata scienceapplied mathematicsapplied physicsapplied mathematical modelling

Multi-Step-Ahead Prediction Intervals for Nonparametric Autoregressions via Bootstrap: Consistency, Debiasing, and Pertinence. Stats (2023)

Dimitris N. PolitisKejin Wu

predictive analyticsperformance predictiontime seriesapplied statisticsbenchmark studiespredictabilitystatistical inferencebootstrap resamplingbiostatisticsstatisticsstatistical methodologynonparametric autoregressionsdata sciencemulti-step-ahead prediction intervalsmachine learning

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Dimitris Politis

Professor

University of California, San Diego

Affiliations

Physical Sciences

Computational Science, Mathematics and Engineering

Mathematics

Halicioglu Data Science Institute

Dimitris Politis is currently serving as a Computational Science, Mathematics And Engineering Professor at University of California, San Diego.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Dimitris Politis

University of California, San Diego

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Scalable Subsampling Inference for Deep Neural Networks. Deleted Journal (2025)

Kejin WuDimitris N. Politis

scalabilitydeep learningdeep neural networksinferencedata sciencemachine learning

Bootstrap Prediction Inference of Nonlinear Autoregressive Models. Journal of Time Series Analysis (2024)

Kejin WuDimitris N. Politis

time seriesbootstrap prediction inferencenonlinear autoregressive modelsdata sciencemachine learning

Local Quadratic Spectral and Covariance Matrix Estimation. Journal of Time Series Analysis (2024)

Tucker McElroyDimitris N. Politis

time seriesestimation theoryspectral theorycovariance matrix estimationapplied mathematics

Prepivoted Augmented Dickey-Fuller Test With Bootstrap-Assisted Lag Length Selection. Stats (2024)

Somak MaitraDimitris N. Politis

dickey-fuller testapplied statisticsstatistical theorystatistical analysisstatistical inferencestatisticsstatistical methodologystatistical hypothesis test

Simultaneous Statistical Inference for Second Order Parameters of Time Series Under Weak Conditions. The Annals of Statistics (2024)

Yunyi ZhangEfstathios PaparoditisDimitris N. Politis

time seriessimultaneous statistical inferencestatistical inferencesecond order parametersstatisticsweak conditions

Skip-Sampling: Subsampling in the Frequency Domain. Biometrika (2024)

Tucker McElroyDimitris N Politis

particle physicsfrequency domainapplied mathematics

Studentization Versus Variance Stabilization: A Simple Way out of an Old Dilemma. Statistical Science (2024)

Dimitris N. Politis

statistical sciencestatistics

Debiased and Thresholded Ridge Regression for Linear Models With Heteroskedastic and Correlated Errors. Journal of the Royal Statistical Society Series B (Statistical Methodology) (2023)

Yunyi ZhangDimitris N Politis

ridge regressionapplied statisticscorrelated errorsstatisticsstatistical methodologylinear models

Model-Based and Model-Free Point Prediction Algorithms for Locally Stationary Random Fields. Applied Sciences (2023)

Srinjoy DasYiwen ZhangDimitris N. Politis

applied probabilityapplied statisticsmodeling and simulationdata scienceapplied mathematicsapplied physicsapplied mathematical modelling

Multi-Step-Ahead Prediction Intervals for Nonparametric Autoregressions via Bootstrap: Consistency, Debiasing, and Pertinence. Stats (2023)

Dimitris N. PolitisKejin Wu

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